Blockchain based proxy re-encryption scheme for secure iot data sharing
Data is central to the Internet of Things IoT ecosystem. Most of the current IoT systems are using centralized cloud-based data sharing […]
Cross-Database Micro-Expression Recognition
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problems in micro-expression analysis. CDMER is more challenging than the conventional […]
Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning
Objective: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) […]
256 x 8 SPAD Array With 256 Column TDCs for a Line Profiling Laser Radar
A receiver circuit for pulsed time-of-flight line profiling laser radar has been designed in 0.35μm CMOS technology. The receiver consists of a […]
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation
Multiple kernel clustering (MKC) has been intensively studied during the last few decades. Even though they demonstrate promising clustering performance in various […]
3-D ray tracing based GPU accelerated field prediction radio channel simulator
A ray tracing simulator for urban and indoor environments is introduced. The simulator uses NVIDIA graphics processing unit (GPU) accelerated CUDA parallel […]
Full-Duplex UAV Relay Positioning for Vehicular Communications with Underlay V2V Links
The unmanned aerial vehicles (UAVs) can be deployed as aerial base stations or wireless relays to increase the capacity of wireless networks. […]
In-Band Pilot Overhead in Ultra-Reliable Low Latency Decode and Forward Relaying
In URLLC the performance of short message communications highly depends on the training sequence length due to the stringent latency and reliability […]
Autonomous Driving without a Burden
The current autonomous driving architecture places a heavy burden in signal processing for the graphics processing units (GPUs) in the car. This […]
Distributed Edge Caching via Reinforcement Learning in Fog Radio Access Networks
In this paper, the distributed edge caching problem in fog radio access networks (F-RANs) is investigated. By considering the unknown spatio-temporal content […]